ormilestones. Then we describe how we had applied various theoretical constructs to our project andhow it helped to shape our thinking and propel the project forward. Next, we reflected on lessonslearned and presented a roadmap of the steps we took to achieve our project milestones. Wedemonstrate the realities and practicality of conducting our collaborative research process andbridging gaps between theory and practice, and this is a common principle communicatedthroughout the paper.BackgroundThis paper represents a derivative exploration within the broader context of a comprehensivelongitudinal study examining the Summer Engineering Experience for Kids (SEEK), an initiativedelivered by the National Society of Black Engineers (NSBE). NSBE has
and excellence ineducation. Garcia, Nuñez, and Sansone’s (2019) also recommended ethnographic research tounderstand structures of servingness. The researchers utilized metrics on the sense of belongingand community engagement advanced by Mitchneck (2022) in the operationalization of Garcia,Nuñez, and Sansone’s (2019) multidimensional conceptual framework of servingness. Throughcritical reflection and reflexivity, the researchers used these metrics to assess the impact of theinternal processes and methods of the family-centered theory of change and the navigation ofinstitutional, pragmatic mechanisms that led to equitable outcomes among participants.IntroductionIn this study, we (authors/practitioners) engaged in deep critical reflection
six kinds of validation that must be considered in boththe making and handling of qualitative data. Table 1 defines these dimensions in greater detail. Table 1: An overview of the Q3 framework for qualitative research quality Form of Key Concern in Making Data Key Concerns in Handling Data Validation Theoretical Does the research process Do researchers’ interpretations fully Validation wholly capture everything the reflect the coherence and complexity researchers want to learn about of the social reality under the social reality under investigation? investigation? Procedural Do the research procedures
, materials utilized, and the contextual environmentsin which everyday ingenuity manifests. Figures 1 to 3 display the participants' words about theeveryday ingenuity examples sourced from the online blog by Marjoram & King [31]categorized into Furniture, Outdoors, Indoors, and Transport.Figure 1 Shower Curtain RailFigure 2 Chair RepairFigure 3 Bicycle Wagon BedThe collection of the blog photos served as a catalyst for participants to recognize and reflect onthe prevalence of everyday ingenuity in their own lives and cultural contexts. It prompteddiscussions among participants and facilitators about their parents' involvement in everydayingenuity and the reuse of items in their childhood households. This exercise helped participantsto recall
use to identify the level offocussed topics versus diverse topics. These will be used as a proxy for assessing regionalrelevance and urgency. Testimonials from four educators who have used toolkit resources ineducational contexts have also been collected to evaluate the efficacy of the toolkitqualitatively. These user cases reflect both novice users introducing ethics and experiencededucators’ use of the toolkit, which comprises of guidance articles and resources to buildknowledge and structure for curriculum delivery. This initial phase of the impact assessmentof the engineering ethics toolkit has shown that it also helps to support educators to achievethe directive from professional bodies to imbue ethics into engineering degrees. Further
]. Withintersectional challenges, it is essential to rethink how science, technology, engineering, andmath (STEM) education connects with the community and how the community is integrated intothe classroom. Traditional pedagogical methods for STEM education focus on developingstudents’ science knowledge and technical skills, reflecting the historical foundations of STEMand STEM education in the United States [4].Published in 2005 [5] was a U.S. congressional-requested report that raised employerconsciousness on the call to educate scientists, engineers, and mathematicians to maintain thenation’s global position as a leader in research and technological innovation. Even now, federalSTEM education initiatives state that their primary goal is to develop the STEM
competence and foster a positive learning experience [6]. High-confidencestudents typically demonstrate a strong belief in their abilities and may seek out challenges orleadership roles. However, excessive confidence without corresponding competence can leadto overestimation of skills and performance [7]. The Zone of Proximal Developmentsuggested that learning occurs most effectively within the “zone” where tasks are challengingyet achievable with appropriate support. Educators can support high-confidence students byproviding opportunities for intellectual challenge and promoting metacognitive skills, such asself-reflection and self-regulation. Encouraging collaboration and peer feedback can also helphigh-confidence students develop a more accurate
Validate functions Troubleshoot1, 3, 5, 6 Analyze solutions Implement Revise/Iterate ●Iterate toward most viable Evaluate hi-fi prototype ●Evaluate quality of design 2, 4, 7 Analyze solutions Reflect on solution with team Assess policy and Process members regulatory issues ●Evaluate user experience Evaluate After developing the framework, we sought
utility of grades. Onecommon understanding is that grades should reflect students’ achievement or mastery of courselearning objectives. Traditional points-based approaches to grading are common in college-levelcourses, but these approaches unfortunately emphasize the extrinsic motivational factor ofaccumulating points rather than the intrinsic motivation of mastering the course learningobjectives [1, 2]. Furthermore, the variation in scores given in points-based grading by differentinstructors and teaching assistants may require curving or adjusting grades in a way that is notconsistent between courses or sections. This may lead to uncertainty in grades and studentanxiety. Students may also be disincentivized to collaborate with one another if
students throughthe use of the EDP provides evidence of its viability as a framework for learning science. MethodologyIntroductionThis section presents the methods and procedures to answer the question, “How well can theengineering design process facilitate learning of science by middle school students?”. This is acase study of two teams from a middle school classroom that use the engineering design processas a framework for learning scientific principles. The students’ goals are to plan, design, andevaluate a decision tree process to recover, sort, and identify minerals from a lake following atrain derailment spilling the cargo of minerals. Students’ solutions reflect the increase of theirteam’s
generative AI, he created venues in theclass to maintain open communication about the exploration.The students were provided with web-based tools “PrimeBot” and “WebDeveloperBot”, bothdeveloped by the instructor and his team incorporating the API of ChatGPT (refer to figure 1 forscreenshots). With prompts input by users, “PrimeBot” generates Python code for programmingLEGO Education SPIKE Prime Robotics sets, and “WebDeveloperBot” generates HTML codeto help create online portfolios. The students were encouraged to use these tools for their projectsand reflect on their use. They were also provided with “GeneralBot” which has the same featuresas ChatGPT. The students were informed that all data including students’ input and the bots’output would be
. Lab instructors prefer to pre-assign groups to make sure that women are not isolated and to represent the skill sets of both majors in each group.Know your capacityThe choices instructors make are limited by their personal capacity and the capacity of anycourse staff. It is more manageable for instructors of smaller classes to organize group formation,monitor team functioning, and respond to group member concerns. Instructors of larger courses,or courses with multiple course staff members, may find it useful to utilize tools to ease thegroup assignment and/or feedback process. CATME [16] is a useful, if long, survey tool that cansort students into groups. There also exist other reflective surveys and writing exercises thatserve a
benefits, traditional grading faces significant challengesthat warrant attention. One of its shortcomings lies in misrepresenting learning, as gradesoften reflect only the maximum points available, creating a disconnection between gradesand actual growth. False positives and negatives are common occurrences, leading to aninaccurate portrayal of a student's learning level. The use of numerical points to evaluatestudent work is also a limitation, as grades are categorical data representing quality ratherthan the result of a measurement. This poses challenges when attempting to applymathematical calculations, rendering grades less useful than more conventional data sets.[2]Furthermore, traditional grading systems are criticized for their inequitable
the ever-increasing role of computing reflects those disparities. One facet of thesolution is to broaden the computing education research corpus to include experiences of allstudents, particularly those from marginalized groups, and to adopt best practices for high-qualityresearch.Research Question: What gaps related to participants in computing education research studiesexist? How might these contribute to the lack of equity in high school computing?Methodology: Using a curated data set of research articles focused on K-12 computing education,we analyzed articles that included high school students as study participants (n = 231) todetermine which dimensions of high quality and/or equity-enabling research were included.Results: The yearly
self-regulated learning [5] and life-long learning [6]. Self-assessment is an important metacognitive skill [7]. Practicing metacognition hasbeen shown to foster more effective learning [8, 9]. Accurate self-assessment as a part of themetacognitive process helps students to discover what skills they have mastered and what areasstill need development. Pairing instructor assessments with student self-assessments allows forstudent reflection and calibration of their self-assessment capabilities, which can guide futurelearning behaviors [7]. Students have demonstrated improvement in self-assessment accuracywith practice [10], which can mitigate under- and over-confidence for a more equitable learningenvironment [7].Knowledge SurveysEd Nuhfer
and published in academic journals, reports, dissertations, and conference materials. Methods &Result: The study reveals a multifaceted definition of effective mentorship, highlighting both formal structured programs and informal, spontaneous connections between mentors and mentees. Drawing from established theories like Kram's mentorship theory and Edmondson's psychological safety concept, the instruments analyzed demonstrate a diverse conceptual foundation rooted in higher education. Over 40 years, 47 unique instruments were identified, reflecting a global interest in doctoral education research, with the USA leading in the number of studies. While many instruments exhibit high internal consistency reliability and
lasted between twenty minutes and an hour long and wereconducted in-person. The questions explored how the students found out about the SEL position,why they decided to apply, and questions about their experiences, including what they thoughtwas going well and what they would like to change. Interviews were designed and conducted inaccordance with internal review board policies and researchers ensured the confidentiality of theparticipants. The interviews were recorded and transcribed.The journal entries were designed to gather insight on the mentor experience over the course ofthe academic year. Mentors were asked to summarize the work they completed and reflect ontheir experience of being a mentor. Questions were open-ended and prompted the
integration of an entrepreneurial mindset (EM) into engineering education has become18 increasingly prevalent, reflecting a paradigm shift in how engineering problems are approached19 and solved. This project, serving as the capstone of an Introduction to Engineering course, was20 designed to instill EM in a diverse group of engineering students, equipping them to tackle21 multidisciplinary challenges innovatively. Historically, EM has been a staple in business education22 but has only recently begun to permeate engineering curricula globally over the past few decades23 (3). The Kern Entrepreneurial Engineering Network (KEEN), established in 2005, has been pivotal24 in promoting EM within undergraduate engineering programs across the
intertwined with the cultural wealthframework, which is situated with transnational framework, to explore the experiences ofinternational faculty in U.S. higher education institutions, particularly in the fields of science andengineering. Auto-ethnography[14], [15], as a method, allows researchers to use their ownexperiences as primary data, offering a deep, introspective understanding of the culturalphenomena under investigation. This approach is particularly suited to our study as it enables eachco-author to draw upon their personal narratives, reflecting their journey as international facultyin the U.S., thereby providing an authentic, first-person perspective on the challenges andopportunities they encounter. We did not use any prompts while
elements that Latinas,as women and engineering students, face in their search for a place in engineering. There aremultiple socio-emotional, economic, cultural, and academic aspects to consider in facilitatingLatina engineering students to develop interest, persist throughout, and gain confidence.MethodsThis is a qualitative one-shot case longitudinal study that explores a phenomenon in depth withinits real-world context. There was no control group to compare the effectiveness of the ROLEprogram. Women participants pursuing engineering degrees reflected on the importance ofprograms like ROLE that helped them reinforce their self-confidence as students interested inengineering. Participants took part in a set of interviews, in the first month of
discussion in [3]). The demographics of those earning Bachelor’s degrees mayhave been skewed by COVID. Further, there are inconsistencies in the timing of the AASHEratings, course counts, and graduates. The data don’t reflect students’ processes of selectinginstitutions and persisting to graduation (e.g., students graduating in 2020-2021 likely wereselecting colleges in ~2016, but the information available and actual sustainability content incourses can vary over time).Results and DiscussionThe results of correlation tests with the 2019-2020 demographics of ME undergraduate degreerecipients are shown in Table 3, across all institutions, public institutions, and private institutions.The dark tan color highlights correlations that meet the
are particularlyacute amid the rising tide of graduates—a reflection that underscores the need todecipher the career intentions guiding job-seeking behaviors, especially for engineeringstudents who play a pivotal role in driving technological and economic growth. However, disconcerting trends have been observed, which is a considerablefraction of engineering graduates show a reluctance to remain in their field during jobsearches, risking an outflow of expertise from the sector. Influenced by self-interest,utilitarian values, and entrenched gender stereotypes, these students’ career decisionspoint to the urgency for empirical studies that examine the synergy between universityeducation and individual student motivations. Notably
needing to navigate the complexities ofmanaging different classroom experiences for all of their students—in other words, exhibitingadaptive expertise. This skillset allows teachers to adjust their instruction and respond tounexpected situations during their teaching. As previously mentioned, three indicators ofadaptive expertise in teaching include: flexibility, deep-level understanding, and deliberatepractice [16]. Flexibility in teaching shows adaptive expertise in that teachers are not beholden totheir lesson plans exactly as written; they are responsive to the needs of students during thelearning experience [19]. These teachers show a willingness to experiment, play, changedirection, problem solve, and refine based on their own reflection
together about a common question[4]. This relational interview process is fundamental to ethnographic interviewing [5].Similarly, participant observation allows researchers to relationally discover, in-situ, how clientsunderstand and articulate problems. Neither insider nor outsider, the role of the participant-observer is to gain understanding through immersion, often reflected in ethnographic fieldnotes[6]. Thus, observation is another important skill to be developed.In terms of pedagogical design, the team decided to use a flipped classroom strategy. Over thepast decade, flipped classrooms have become increasingly popular in engineering [7, 8]. In arecent meta-analysis in engineering education in K-12 and higher education contexts, the
a crucial tool, reflecting the learner's understandingand competence, and ultimately guiding them towards targeted improvement and development.However, in active learning the content is usually taught for a set amount of time, and a student’saptitude is based on how much they learned in that time. Conversely, mastery learning assumes thatall students, given enough time and intervention, can eventually master the content [4], [5], [6].Learning within mastery frameworks concerns itself with identifying learning trajectories andproviding students with curriculum for gaining knowledge and skills, assessing mastery throughformative assessments, and providing feedback to help students master one set of skills beforemoving on to the next set [7
ofwhich features her engineering skills. In The Expanse, Naomi Nagata is in every episode of thefirst season, but I focused my analysis on the pilot as well as episode 2, episode 7, and episode10 because they more heavily showcase Naomi’s problem-solving and engineering skills.While viewing the selected episodes, I crafted detailed analytic memos (Miles et al., 2018)reflecting on questions related to the depictions of each engineer as well as how they interactwith the elements of plot, genre, and narrative worlds around them. I drew heavily on theelements of feminist narrative theory according to Herman et al. (2012) to inform my reflectionquestions. Reflection questions included, for example: • What are the key aspects of genre, plot and
]), I present an argument in this paper that ChatGPT is animportant tool for creating equitable access, especially for international students or students withtraditionally marginalized identities in engineering education. I present this from thepositionalities of student educators in engineering courses with reading and writing componentsand as international students in the US having relied on machine translation in their own studentexperiences. Using an approach similar to Coppola and Turns [11], I draw upon findingsgathered from interviewing other instructors of engineering courses within my department, aswell as a reflection of my own experiences as an instructor in engineering courses. I presentmicrocultures of student experiences of using
and asked to reflect on theirexperiences in classes and involvement in engineering related activities. These interviews tend tobe about an hour to two hours long, depending on how much the student enjoys reflecting. Someof the interview questions were geared towards engineering identity. Some were geared towardsaffect, global affect, and affective pathways [13], [14], [15], [16], [17]. Most of the otherquestions surrounded the information the student provided in the survey, confirming that all ofthe boxes they checked match how they truly feel about their attitudes, demographics, andoutside identities. We examined evidence from the participants’ first and second post-semesterinterviews with facts from the preliminary survey as contextual
approach to research on first-generation students, reflecting a focus on what thesestudents can add to engineering rather than focusing on what they lack [10]. We pose thefollowing research question: How do two first-generation students, one a first-year and one a fourth-year, describe their journeys through engineering?By comparing the perspectives of a first-year and fourth-year student, we can identifyopportunities for better supporting our first-year, first-generation students. Identifying thespecific challenges endured by both students in their first years, and the stories of how thosechallenges were navigated, allows educators to adjust existing practices to be more supportiveand inclusive of first-generation students.MethodsIn